Senior Statistical Programmer

2 days ago

Mysore, Karnataka, India beBeeStatistical Full time ₹ 18,00,000 - ₹ 24,50,000
Job Title: Senior Statistical Analyst

We are seeking a highly skilled and experienced Senior Statistical Analyst to join our team. As a key member of our clinical research operations, you will be responsible for providing lead statistical programming support for multiple clinical projects using SAS.

  • Provide statistical programming support for multiple clinical research study projects or study teams.
  • Develop statistical programming in SAS (Base and Macros) and provide consultation to projects across the company including statistical programming methodology.
  • Ensure sound methodologies are adopted by establishing proficiency of programming techniques required for clinical trials research, involving CDISC standards and analysis data sets or production of standard and custom tables listings and figures.

Key Responsibilities:

  • Deliver key outputs based on established proficiency of regulatory requirements for clinical research E-submissions and/or study requirements for Sponsor, Regulatory, Investigator or Safety review meetings.
  • Develop programming documentation and annotations including specifications, review of mock shells, adhering to relevant Standard Operating Procedures and contributes to standardization efforts.
  • Write well-documented, efficient, high-quality code, conducts code review, supports cross-functional programming activities, and programming validation as needed.

Qualifications:

  • A bachelor's degree plus 4 years of experience in statistical programming as a CDISC/TLF Statistical programmer in a Pharmaceutical/CRO environment, education in a scientific discipline preferred.
  • Understanding of GCP principles and other regulatory standards in Clinical Research.
  • Strong analytical skills with ability to process scientific and medical data.
  • Expert statistical programming skills in SAS, familiarity with R, Python or other relevant statistical software beneficial.

Benefits:

  • Maintain up-to-date knowledge of current statistical programming techniques to ensure adoption of sound methodologies.

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